Acquisition and application using geometry big data by multiple robots with high-resolution laser scanner

2017 Fiscal Year Final Research Report

• Project/Area Number: 26249029
• Research Category: Grant-in-Aid for Scientific Research (A)
• Allocation Type: Single-year Grants
• Section: 一般
• Research Field: Intelligent mechanics/Mechanical systems
• Research Institution: Kyushu University
• Principal Investigator: Kurazume Ryo 九州大学, システム情報科学研究院, 教授 (70272672)
• Co-Investigator(Kenkyū-buntansha): 中澤 篤志 京都大学, 情報学研究科, 准教授 (20362593) ; 河村 晃宏 九州大学, システム情報科学研究院, 助教 (60706555) ; 諸岡 健一 九州大学, システム情報科学研究院, 准教授 (80323806) ; 辻 徳生 九州大学, システム情報科学研究科(研究院, 助教 (30403588) ; 岩下 友美 九州大学, システム情報科学研究科(研究院, 准教授 (70467877)
• Project Period (FY): 2014-04-01 – 2018-03-31
• Keywords: 知能ロボティクス / レーザ計測 / ビッグデータ / 環境モデリング / 空間知能化

Outline of Final Research Achievements

In this research, we developed a 3D scanning system using multiple robots named CPS-VIII, which combines the laser measurement technique using multiple robots called CPS-SLAM and a high-precision 3D laser scanner. This system is able to acquire geometrical big data consisting of trillions of 3D points. The experimental results showed that the accuracy for CPS-VIII is 0.0085 % of the distance traveled, which means the error is 0.0231 m after the robot moved 270.1 m. In addition, we developed large-scale geometrical big data of urban area and surrounding area of Fukuoka city and provided them on the web. Furthermore, we developed space/road categorization techniques for autonomous vehicles and mobile robots, and proposed high precision recognition techniques using convolutional neural networks and the combination of multiple machine learning techniques.

Free Research Field

ロボット工学